About the role#
This co-op position places you at the intersection of cell line development, vector development, data science, and artificial intelligence. You will join the Cell Line and Vector Development GMU CMC team to advance process understanding and accelerate development activities. This role provides hands-on experience applying computational and data-driven methods to biological and manufacturing challenges while collaborating across various development and digital functions.
What you'll do#
- Support cell line and vector development for AAV-based gene therapy programs.
- Analyze experimental and process development datasets using statistical and computational tools.
- Develop data visualizations, automated workflows, and predictive models to support scientific decision-making.
- Apply AI and machine learning approaches to improve process understanding, identify trends, and optimize workflows.
- Operate or develop automated laboratory workflows using liquid handling platforms and integrated robotic systems.
- Assist with experimental design, data interpretation, and the presentation of results.
- Collaborate with cross-functional teams to integrate data-driven approaches into CMC development.
- Present findings, recommendations, and project updates to stakeholders.
- Contribute to knowledge sharing and the adoption of AI and machine learning capabilities across the organization.
What you'll need#
- Currently pursuing a Bachelor's, Master's, or Ph.D. in Bioengineering, Biomedical Engineering, Biotechnology, Computational Biology, Data Science, Chemical Engineering, Life Sciences, or a related field.
- Plans to graduate after the completion of the co-op.
- Enrollment in an accredited college or university throughout the duration of the program.
- Permanent authorization to work in the U.S. without the need for employment visa sponsorship.
- Ability to relocate to the office location and work 40 hours per week, Monday through Friday.
- Proficiency in Python for data analysis, automation scripting, or machine learning.
- Familiarity with machine learning, statistical modeling, or multivariate data analysis.
- Experience with data pipeline development, API integration, or connecting software to instruments.
- Familiarity with Design of Experiments (DoE) tools like JMP or Spotfire.
- Experience with laboratory automation platforms such as Hamilton, Tecan, or Biomek.
- Basic familiarity with molecular biology concepts, cell culture, viral vectors, or gene therapy.
- Experience organizing, visualizing, and interpreting complex biological datasets.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively both independently and within a team environment.
Location & details#
- Location: Waltham, Massachusetts
- Term: Summer 2027
- Duration: 6 months
- Modality: On-site
- Employment type: Full-time
About Sanofi
Sanofi is a pharmaceutical manufacturing company based in Paris, France. It employs over 93,000 people across global offices. The company focuses on vaccines, rare diseases, neurology, immunology, and oncology. It also operates in the fields of diabetes, cardiovascular diseases, and consumer healthcare.
How to get in at Sanofi
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